Jiangsu Yitong High-Tech Co (300211) Fair Value & Analysis
Technology · CN · Market cap 2.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Jiangsu Yitong High-Tech Co (300211) currently trades at ¥7.62, while our model-based Fair Value estimate is ¥2.38 — implying the stock looks roughly 68.8% overvalued today. We read business quality at 94/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Jiangsu Yitong High-Tech Co., Ltd., together with its subsidiaries, engages in research and development, manufacturing, and sale of broadcasting and cable television network equipment in China and internationally. The company offers front-end optical transmission equipment, optical workstations, optical transmission platforms, RF-PON products, optical transmitters, optical receivers, optical amplifiers, optical switches, and other cable TV optical transmission equipment; and digital optical workstations, GEPON, ONU, MoCA, HomePlug, C-DOCSIS, and home gateway series MOCA home interconnection products, as well as CATV coaxial cable transmission equipment, such as trunk amplifiers, passive devices, and user terminals. It also provides intelligent monitoring engineering services for video surveillance, social security dynamic monitoring, and weak electrical intelligent engineering. In addition, the company offers design and system integration services, including feasibility studies, dif…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.